DESCRIPTION

Package: simrel
Title: Simulation of Multivariate Linear Model Data
Version: 2.1.0
Authors@R: 
    c(person(given = "Raju",
             family = "Rimal",
             role = c("aut", "cre"),
             email = "raju.rimal@medisin.uio.no",
             comment = c(ORCID = "0000-0001-6097-0285")),
      person(given = "Solve",
             family = "Sæbø",
             role = c("aut", "ths"),
             email = "solve.sabo@nmbu.no",
             comment = c("Original creator of the package", ORCID = "0000-0001-8699-4592")),
      person(given = "Kristian Hovde",
             family = "Liland",
             role = c("aut"),
             email = "kristian.liland@nmbu.no",
             comment = c("Contributor and coauthor of the univariate version of simrel", 
                         ORCID = "0000-0001-6468-9423")))
Description: Researchers have been using simulated data from a multivariate linear model to compare and evaluate different methods, ideas and models. Additionally, teachers and educators have been using a simulation tool to demonstrate and teach various statistical and machine learning concepts.
    This package helps users to simulate linear model data with a wide range of properties by tuning few parameters such as relevant latent components. In addition, a shiny app as an 'RStudio' gadget gives users a simple interface for using the simulation function. See more on: Sæbø, S., Almøy, T., Helland, I.S. (2015) <doi:10.1016/j.chemolab.2015.05.012> and Rimal, R., Almøy, T., Sæbø, S. (2018) <doi:10.1016/j.chemolab.2018.02.009>.
Depends:
    R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.1
VignetteBuilder: knitr
BugReports: https://github.com/simulatr/simrel/issues
URL: https://simulatr.github.io/simrel/
Repository: https://github.com/simulatr/simrel
Imports:
    FrF2,
    ggplot2,
    gridExtra,
    jsonlite,
    magrittr,
    methods,
    miniUI,
    purrr,
    reshape2,
    rlang,
    rstudioapi,
    scales,
    sfsmisc,
    shiny,
    testthat,
    tibble,
    tidyr
Suggests: 
    DoE.base,
    covr,
    knitr,
    markdown,
    pls